Senior Python AI Engineer: LLM Integrations & Cloud APIs

EPAM Systems; México; Presencial; MXN 900 000 - 1 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits

Global career opportunities

Upskilling and certs

Paid time off and sick leave

Employee programs

Resumo da oferta

EPAM Systems in Mexico seeks a Lead AI Engineer to design and deliver production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You will shape agent architecture, ensure observability and secure data access patterns, and collaborate with distributed stakeholders to deliver high-quality outcomes.

Responsibilities include building AI agents with tool-calling and structured outputs, implementing read-only data access via Model Context Protocol, developing

Qualificações

• 5+ years of production software development experience with Python.
• 2+ years building LLM integrations or AI agents.
• Lead-level technical leadership guiding design and code quality.
• Strong ownership for delivering production-grade services end to end.
• Advanced Python 3.11+ with AsyncIO and clean architecture.
• Strong FastAPI skills for building backend microservices and tool APIs.
• Strong SQL skills for analytical queries.
• Solid Docker skills for packaging and running services.
• Hands-on Google Agent Development Kit experience.
• Model Context Protocol read-only data access patterns.
• Upper-Intermediate English proficiency (B2).

Responsabilidades

• Design production-grade AI agent architectures and tool interfaces.
• Build scoped AI agents with tool-calling, structured outputs, and orchestration.
• Implement read-only Model Context Protocol servers for dataset exposure.
• Develop FastAPI services and asynchronous task handlers.
• Write and optimize SQL for cost datasets with partitioning constraints.
• Implement health checks, JSON logging, and tracing for observability.
• Establish tests and enforce monorepo engineering practices.
• Coordinate peer code reviews and align with product/architecture teams.
• Collaborate to refine requirements and deliver measurable results.

Conhecimentos

Python

AsyncIO

FastAPI

SQL

Docker

LLM integrations

Agent development

Code quality

Cloud-native

Observability

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Google Cloud BigQuery

LangChain

Terraform

Descrição da oferta de emprego

EPAM Systems in Mexico seeks a Lead AI Engineer to design and deliver production-grade AI agents and data-integrated tool APIs in a cloud-native Python environment. You will shape agent architecture, ensure observability and secure data access patterns, and collaborate with distributed stakeholders to deliver high-quality outcomes.

Responsibilities include building AI agents with tool-calling and structured outputs, implementing read-only data access via Model Context Protocol, developing